A financial institution wants to reduce the false positives in its existing fraud detection system. How would Machine Learning help in this scenario?
- Anomaly Detection, Precision Optimization
- Clustering, Recommender Systems
- Image Recognition, Text Classification
- Weather Prediction, Supply Chain Management
Anomaly Detection algorithms and Precision Optimization techniques can help reduce false positives in fraud detection by fine-tuning the classification threshold and using feature engineering to differentiate between legitimate and fraudulent transactions.
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